Kyurae Kim
11 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (16) π Conference Polyglot Β· Bronze π Keyword Champion (3) ποΈ Keyword Collector (53)
β
The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Deep Learning
(5)
Bayesian & Probabilistic Β· Machine Learning
(5)
Models
(5)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Methods
(1)
Research
(1)
Keywords
variational inference
(4)
stochastic gradient descent
(4)
black-box variational inference
(3)
gradient variance
(3)
markov chain monte carlo
(2)
gaussian process
(2)
bayesian inference
(2)
bayesian optimization
(2)
kl divergence
(1)
time series
(1)
biased sampling
(1)
sequential monte carlo
(1)
gradient descent
(1)
hierarchical model
(1)
stochastic approximation
(1)
expectation maximization
(1)
convergence
(1)
stochastic process
(1)
markov chain
(1)
convergence analysis
(1)
Papers
Personalized Convolutional Dictionary Learning of Physiological Time Series
AISTATS 2025
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
ICML 2025
Approximation-Aware Bayesian Optimization
NeurIPS 2024
Demystifying SGD with Doubly Stochastic Gradients
ICML 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
AISTATS 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families
ICML 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization
AISTATS 2024
On the Convergence of Black-Box Variational Inference
NeurIPS 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023
The Behavior and Convergence of Local Bayesian Optimization
NeurIPS 2023
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
NeurIPS 2022